Anodot Case Studies Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC

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	Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC Anodot

Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC

Anodot

Technology Category	Analytics & Modeling - Real Time Analytics
Applicable Functions	Business Operation
Use Cases	Real-Time Location System (RTLS)
Services	Data Science Services
Challenge	Penske Media Corporation (PMC) was facing significant delays in discovering important incidents in their active, online business. The company was using Google Analytics’ alerting function to track business incidents but found it inadequate due to the millions of users across dozens of household-name and professional publications. The initial use case for PMC was to start using Anodot to track its Google Analytics activity, for example, to identify anomalous behavior in impressions or click-through rates for advertising units. Read More
About Customer	Penske Media Corporation (PMC) is a leading digital media and information services company whose award-winning content attracts a monthly audience of more than 180 million and empowers more than 1 million global CEOs and business thought-leaders in markets that impact the world. The company is headquartered in New York and Los Angeles with additional offices in 11 countries worldwide. PMC’s portfolio of brands includes Variety, WWD, Deadline, Robb Report, and many more. PMC’s journalists and content creators deliver daily the most comprehensive news and information in their industries and areas of coverage, unequaled in ambition, depth and courage. Read More
Solution	PMC brought in Anodot to track its Google Analytics activity. Anodot learns the normal behavior of each metric, with its seasonality or other patterns, and alerts automatically when a metric behaves differently than expected. This helped PMC to identify software bugs early, before small issues turned into major crises. For example, in one case, Anodot flagged higher than expected bounce rate in a publication’s gallery pages, and correlated this alert with an increase in the corresponding image sizes after a back end code push. PMC was also able to use Anodot to analyze its Google search console and Google webmaster data. As a result, sudden changes in search engine ranking for the company’s relevant keywords will automatically trigger an alert on Anodot. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Applicable Functions

Business Operation

Use Cases

Real-Time Location System (RTLS)

Services

Data Science Services

Challenge

Penske Media Corporation (PMC) was facing significant delays in discovering important incidents in their active, online business. The company was using Google Analytics’ alerting function to track business incidents but found it inadequate due to the millions of users across dozens of household-name and professional publications. The initial use case for PMC was to start using Anodot to track its Google Analytics activity, for example, to identify anomalous behavior in impressions or click-through rates for advertising units.

About Customer

Penske Media Corporation (PMC) is a leading digital media and information services company whose award-winning content attracts a monthly audience of more than 180 million and empowers more than 1 million global CEOs and business thought-leaders in markets that impact the world. The company is headquartered in New York and Los Angeles with additional offices in 11 countries worldwide. PMC’s portfolio of brands includes Variety, WWD, Deadline, Robb Report, and many more. PMC’s journalists and content creators deliver daily the most comprehensive news and information in their industries and areas of coverage, unequaled in ambition, depth and courage.

Solution

PMC brought in Anodot to track its Google Analytics activity. Anodot learns the normal behavior of each metric, with its seasonality or other patterns, and alerts automatically when a metric behaves differently than expected. This helped PMC to identify software bugs early, before small issues turned into major crises. For example, in one case, Anodot flagged higher than expected bounce rate in a publication’s gallery pages, and correlated this alert with an increase in the corresponding image sizes after a back end code push. PMC was also able to use Anodot to analyze its Google search console and Google webmaster data. As a result, sudden changes in search engine ranking for the company’s relevant keywords will automatically trigger an alert on Anodot.

Impact #1	Identified product bugs, referral spam, SEO changes and more without any preconfiguration.
Impact #2	By discovering referral spam through Anodot, and then blocking the spam traffic, PMC was able to free up resources for legitimate visitors.
Impact #3	PMC was able to identify software bugs early, before small issues turned into major crises.

Impact #1

Identified product bugs, referral spam, SEO changes and more without any preconfiguration.

Impact #2

By discovering referral spam through Anodot, and then blocking the spam traffic, PMC was able to free up resources for legitimate visitors.

Impact #3

PMC was able to identify software bugs early, before small issues turned into major crises.

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Overview

Anodot Finds “All the Anomalies Fit to Print” for Media Giant PMC

Operational Impact